Enhanced Conditional Generative Adversarial Network For Handling Subject Variability In Human Activity Recognition

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Enhanced Conditional Generative Adversarial Network For Handling Subject Variability In Human Activity Recognition

While splitting datasets, researchers assume that training set is exchangeable with test set and expect good classification performance. This assumption is invalid due to subject variability due to age differences. Classification models trained on activity data from one particular age group such as...

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Bibliographic Details
Main Author:	Jimale, Ali Olow
Format:	Thesis
Language:	English
Published:	2023
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://eprints.usm.my/60094/ http://eprints.usm.my/60094/1/ALI%20OLOW%20JIMALE%20-%20TESIS%20cut.pdf

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